Senior Cloud Architect

2 weeks ago

Sydney, New South Wales, Australia beBeeData Full time $120,000 - $170,000
Cloud Data Engineer

We are seeking an experienced Cloud Data Engineer to join our team and contribute to the design, development, deployment, and operation of data services and solutions for a cloud ecosystem.

About this role

This is an exciting opportunity for a skilled professional to develop and maintain large-scale data systems, ensuring high-quality, reliable, and efficient data processing. You will work closely with cross-functional teams to design, implement, and optimize data pipelines, storage systems, and analytics applications.

Key Responsibilities
  • Design and create cloud databases and data pipelines that underpin a decoupled cloud architecture and API-first approach.
  • Collaborate with AWS Cloud Infrastructure Engineers, Software/API Developers, and Architects to design, develop, deploy, and operate data services and solutions for a cloud ecosystem.
  • Own functional and non-functional design aspects and contribute to roadmaps and technical direction of data services on AWS environments.
  • Model data and ensure data quality, availability, and reliability to support advanced analytics, machine learning, and generative AI requirements.
Required Qualifications and Experience
  • Deep understanding of data modeling and data quality; extensive experience with SQL and relational databases.
  • Experience designing and building reliable and efficient data pipelines using modern cloud services on AWS.
  • Experience with data-centric frameworks such as Spark; programming knowledge in Scala or Python; comfortable with Linux, shell scripting, and automation frameworks.
  • Experience with automating data ingestion and transformation processes using scheduling tools; monitoring and troubleshooting data pipelines for reliability and performance.
  • Knowledge of data formats (JSON, CSV, XML) and data validation, cleaning, and transformation techniques.
Desirable Skills
  • Experience with Workday or payroll data integration.
  • Familiarity with AWS data products such as Glue and EMR.
Technical Skills
  • Design and implement new data models with field mappings and transformation logic from source systems to domain models.
  • AWS data products: AWS Glue, AWS EMR; AWS S3 ingestion, transformation, and writing to databases.
  • Programming: Python, Scala, or Java for data ingestion and transformation; strong SQL skills.
  • Automation and scheduling: bash scripting, cron, and related tooling.

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